Learning of perceptual grouping for object segmentation on RGB-D data
By Andreas Richtsfeld, Thomas Morwald, Johann Prankl, Michael Zillich, Markus Vincze. 2014
63 citations recorded by the source corpus.
Highlights • Segmentation of unknown objects in cluttered scenes.• Abstraction of raw RGB-D data into parametric surface patches.• Learning of perceptual grouping between surfaces with SVMs.• Global decision making for segmentation using Grahp-Cut.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
Citations in the corpus
- RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, background): “, TUM Textureless, Object Segmentation, Object Discovery and PTB, can be found in [7, 61, 73] and [29], respectively.”